model
stringclasses 36
values | bcp_47
stringclasses 221
values | task
stringclasses 7
values | metric
stringclasses 3
values | score
float64 0
1
| origin
stringclasses 2
values |
|---|---|---|---|---|---|
z-ai/glm-4.6
|
lt
|
translation_from
|
chrf
| 0.473786
|
human
|
z-ai/glm-4.6
|
lt
|
translation_to
|
bleu
| 0.25309
|
human
|
z-ai/glm-4.6
|
lt
|
translation_to
|
chrf
| 0.548817
|
human
|
z-ai/glm-4.6
|
ltg
|
arc
|
accuracy
| 0.666667
|
machine
|
z-ai/glm-4.6
|
ltg
|
classification
|
accuracy
| 0.75
|
human
|
z-ai/glm-4.6
|
ltg
|
mgsm
|
accuracy
| 0.75
|
machine
|
z-ai/glm-4.6
|
ltg
|
mmlu
|
accuracy
| 0.8
|
machine
|
z-ai/glm-4.6
|
ltg
|
translation_from
|
bleu
| 0
|
human
|
z-ai/glm-4.6
|
ltg
|
translation_from
|
chrf
| 0.397535
|
human
|
z-ai/glm-4.6
|
lua
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
lua
|
translation_from
|
bleu
| 0.220344
|
human
|
z-ai/glm-4.6
|
lua
|
translation_from
|
chrf
| 0.313491
|
human
|
z-ai/glm-4.6
|
luo
|
arc
|
accuracy
| 0
|
machine
|
z-ai/glm-4.6
|
luo
|
classification
|
accuracy
| 0.714286
|
human
|
z-ai/glm-4.6
|
luo
|
mgsm
|
accuracy
| 0
|
machine
|
z-ai/glm-4.6
|
luo
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
luo
|
translation_from
|
bleu
| 0.131637
|
human
|
z-ai/glm-4.6
|
luo
|
translation_from
|
chrf
| 0.311804
|
human
|
z-ai/glm-4.6
|
lv
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
lv
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
lv
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
lv
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mag
|
classification
|
accuracy
| 0.333333
|
human
|
z-ai/glm-4.6
|
mai
|
arc
|
accuracy
| 0.9
|
machine
|
z-ai/glm-4.6
|
mai
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mai
|
mgsm
|
accuracy
| 0.5
|
machine
|
z-ai/glm-4.6
|
mai
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mak
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mak
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mak
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mfe
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mg
|
arc
|
accuracy
| 0.875
|
machine
|
z-ai/glm-4.6
|
mg
|
classification
|
accuracy
| 0.777778
|
human
|
z-ai/glm-4.6
|
mg
|
mgsm
|
accuracy
| 0.666667
|
machine
|
z-ai/glm-4.6
|
mg
|
mmlu
|
accuracy
| 0.875
|
human
|
z-ai/glm-4.6
|
mg
|
translation_from
|
bleu
| 0.485191
|
human
|
z-ai/glm-4.6
|
mg
|
translation_from
|
chrf
| 0.6405
|
human
|
z-ai/glm-4.6
|
mg
|
translation_to
|
bleu
| 0.29124
|
human
|
z-ai/glm-4.6
|
mg
|
translation_to
|
chrf
| 0.589165
|
human
|
z-ai/glm-4.6
|
mi
|
arc
|
accuracy
| 0.714286
|
machine
|
z-ai/glm-4.6
|
mi
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mi
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mi
|
mmlu
|
accuracy
| 0.666667
|
machine
|
z-ai/glm-4.6
|
min
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
min
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
min
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
min
|
mmlu
|
accuracy
| 0.875
|
machine
|
z-ai/glm-4.6
|
mk
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mk
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mk
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mk
|
mmlu
|
accuracy
| 0.9
|
machine
|
z-ai/glm-4.6
|
ml
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
ml
|
classification
|
accuracy
| 0.333333
|
human
|
z-ai/glm-4.6
|
ml
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
ml
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mn
|
arc
|
accuracy
| 0.8
|
machine
|
z-ai/glm-4.6
|
mn
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mn
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mn
|
mmlu
|
accuracy
| 0.714286
|
machine
|
z-ai/glm-4.6
|
mn
|
translation_from
|
bleu
| 0.265324
|
human
|
z-ai/glm-4.6
|
mn
|
translation_from
|
chrf
| 0.465556
|
human
|
z-ai/glm-4.6
|
mni
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mos
|
classification
|
accuracy
| 0.714286
|
human
|
z-ai/glm-4.6
|
mos
|
translation_to
|
bleu
| 0.057691
|
human
|
z-ai/glm-4.6
|
mos
|
translation_to
|
chrf
| 0.236619
|
human
|
z-ai/glm-4.6
|
mr
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mr
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mr
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mr
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mr
|
translation_from
|
bleu
| 0
|
human
|
z-ai/glm-4.6
|
mr
|
translation_from
|
chrf
| 0.380797
|
human
|
z-ai/glm-4.6
|
ms
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
ms
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
ms
|
mgsm
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
ms
|
mmlu
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mt
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mt
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
mt
|
mgsm
|
accuracy
| 0.833333
|
machine
|
z-ai/glm-4.6
|
mt
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
mt
|
translation_from
|
bleu
| 0
|
human
|
z-ai/glm-4.6
|
mt
|
translation_from
|
chrf
| 0.434817
|
human
|
z-ai/glm-4.6
|
my
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
my
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
my
|
mgsm
|
accuracy
| 0.5
|
machine
|
z-ai/glm-4.6
|
my
|
mmlu
|
accuracy
| 0.833333
|
machine
|
z-ai/glm-4.6
|
myv
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
nb
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
nb
|
classification
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
nb
|
mgsm
|
accuracy
| 0.857143
|
machine
|
z-ai/glm-4.6
|
nb
|
mmlu
|
accuracy
| 0.888889
|
machine
|
z-ai/glm-4.6
|
nb
|
translation_from
|
bleu
| 0.549442
|
human
|
z-ai/glm-4.6
|
nb
|
translation_from
|
chrf
| 0.681391
|
human
|
z-ai/glm-4.6
|
ne
|
arc
|
accuracy
| 0.875
|
machine
|
z-ai/glm-4.6
|
ne
|
mgsm
|
accuracy
| 0.5
|
machine
|
z-ai/glm-4.6
|
ne
|
mmlu
|
accuracy
| 1
|
human
|
z-ai/glm-4.6
|
new
|
arc
|
accuracy
| 0.5
|
machine
|
z-ai/glm-4.6
|
new
|
mgsm
|
accuracy
| 0
|
machine
|
z-ai/glm-4.6
|
new
|
mmlu
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
nl
|
arc
|
accuracy
| 1
|
machine
|
z-ai/glm-4.6
|
nl
|
classification
|
accuracy
| 1
|
human
|
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